ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

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AWS Machine Learning Blog

AUGUST 21, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. Data professionals such as data scientists want to use the power of Apache Spark , Hive , and Presto running on Amazon EMR for fast data preparation; however, the learning curve is steep.

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phData

SEPTEMBER 28, 2023

Dataflows represent a cloud-based technology designed for data preparation and transformation purposes. Dataflows have different connectors to retrieve data, including databases, Excel files, APIs, and other similar sources, along with data manipulations that are performed using Online Power Query Editor.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

It simplifies feature access for model training and inference, significantly reducing the time and complexity involved in managing data pipelines. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

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Pickl AI

MARCH 4, 2024

How do you load data into Power BI? Loading data into Power BI is a straightforward process. Using Power Query, users can connect to various data sources such as Excel files, SQL databases, or cloud services like Azure. Once connected, data can be transformed and loaded into Power BI for analysis.

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Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Pickl AI

NOVEMBER 18, 2024

Challenges Learning Curve : Qlik’s unique Data Analysis approach requires a bit of a learning curve, especially for new users. Data Preparation : Preparing data in Qlik is not as intuitive as other BI tools, which may slow the time to actionable insights.

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AWS Machine Learning Blog

MAY 31, 2024

Data preparation Before creating a knowledge base using Knowledge Bases for Amazon Bedrock, it’s essential to prepare the data to augment the FM in a RAG implementation. In this demonstration, let’s assume that you need to remove the data related to a particular customer.

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The MLOps Blog

JUNE 27, 2023

See also Thoughtworks’s guide to Evaluating MLOps Platforms End-to-end MLOps platforms End-to-end MLOps platforms provide a unified ecosystem that streamlines the entire ML workflow, from data preparation and model development to deployment and monitoring. Streaming pipelines to ingest and transform real-time data.

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DagsHub

APRIL 21, 2024

You need to make that model available to the end users, monitor it, and retrain it for better performance if needed. Microsoft Azure ML Provided by Microsoft , Azure Machine Learning (ML) is a cloud-based machine learning platform that enables data scientists and developers to build, train, and deploy machine learning models at scale.

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Hacker News

JULY 1, 2025

Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment) We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good. Queries everywhere – SQL lives in Slack snippets, BI folders, dusty Git repos, and copy-pasted Notion pages.

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